强化学习论文趋势 2023–2026
策略优化、离线 RL 与基于环境的决策学习
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 6,885 篇被归入该主题的论文。
主要结论
- 强化学习论文从 2023 年的 1,070 篇增长到 2026 年的 2,985 篇，三年间扩大到约 2.8 倍。
- NeurIPS 是发强化学习论文最多的会议，2023–2026 年共 2,494 篇，占四个会议总量的 36%。
- 交叉方向里涨得最快的是推理模型：同时属于两个主题的论文从 2023 年的 9 篇增至 2026 年的 437 篇。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 484 | 233 | 297 | 56 | 1,070 |
| 2024 | 466 | 304 | 356 | 64 | 1,190 |
| 2025 | 784 | 379 | 405 | 72 | 1,640 |
| 2026 | 760 | 911 | 1,021 | 293 | 2,985 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026\texttt{FEROM}: Frontier Endogenous Reveal-Order Marginal Policy Optimization for Masked Diffusion LMs
- ICML 2026$\text{DT}^\text{2}$: Decision-Targeted Digital Twins
- ICLR 2026$\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Textual Space
- CVPR 2026A Causal Marriage between VLM and IRM from Understanding to
- NeurIPS 2025$\texttt{G1}$: Teaching LLMs to Reason on Graphs with Reinforcement Learning
- ICML 2025A Computationally Efficient Algorithm for Infinite-Horizon Average-Reward Linear MDPs
- ICLR 2025$\phi$-Update: A Class of Policy Update Methods with Policy Convergence Guarantee
- CVPR 2025All-Optical Nonlinear Diffractive Deep Network for Ultrafast Image Denoising
- NeurIPS 2024A Critical Evaluation of AI Feedback for Aligning Large Language Models
- ICML 2024${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning
- ICLR 2024A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
- CVPR 2024DMR: Decomposed Multi-Modality Representations for Frames and Events Fusion in Visual Reinforcement Learning
- NeurIPS 2023“Why Not Looking backward?” A Robust Two-Step Method to Automatically Terminate Bayesian Optimization
- ICML 2023A Connection between One-Step RL and Critic Regularization in Reinforcement Learning
- ICLR 2023$O(T^{-1})$ Convergence of Optimistic-Follow-the-Regularized-Leader in Two-Player Zero-Sum Markov Games
- CVPR 2023"Seeing" Electric Network Frequency From Events
- NeurIPS 2026$\varphi$TD: Distributional Reinforcement Learning using Characteristic Functions
- ICML 2026$\textit{S}$-SPPO: Semantic-Calibrated Self-Play Preference Optimization
- ICLR 2026$AutoDrive\text{-}P^3$: Unified Chain of Perception–Prediction–Planning Thought via Reinforcement Fine-Tuning
- CVPR 2026AdaptVision Efficient Vision-Language Models via Adaptive Visual Acquisition
全部强化学习论文
共 6,885 篇，第 117 / 138 页
- NeurIPS 2024Verifiably Robust Conformal Prediction
- NeurIPS 2024Verified Safe Reinforcement Learning for Neural Network Dynamic Models
- NeurIPS 2024Vision-Language Navigation with Energy-Based Policy
- NeurIPS 2024Warm-up Free Policy Optimization: Improved Regret in Linear Markov Decision Processes
- NeurIPS 2024WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
- NeurIPS 2024When LLM Meets DRL: Advancing Jailbreaking Efficiency via DRL-guided Search
- NeurIPS 2024When to Sense and Control? A Time-adaptive Approach for Continuous-Time RL
- NeurIPS 2024When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human Feedback
- NeurIPS 2024WizardArena: Post-training Large Language Models via Simulated Offline Chatbot Arena
- NeurIPS 2024WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment
- NeurIPS 2024Worst-Case Offline Reinforcement Learning with Arbitrary Data Support
- NeurIPS 2024Would I Lie To You? Inference Time Alignment of Language Models using Direct Preference Heads
- NeurIPS 2024XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
- NeurIPS 2024Zero-Shot Reinforcement Learning from Low Quality Data
- NeurIPS 2024ZSC-Eval: An Evaluation Toolkit and Benchmark for Multi-agent Zero-shot Coordination
- CVPR 2023"Seeing" Electric Network Frequency From Events
- CVPR 2023AdaMAE: Adaptive Masking for Efficient Spatiotemporal Learning With Masked Autoencoders
- CVPR 2023Affordances From Human Videos as a Versatile Representation for Robotics
- CVPR 2023All-in-Focus Imaging From Event Focal Stack
- CVPR 2023ARO-Net: Learning Implicit Fields From Anchored Radial Observations
- CVPR 2023Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary
- CVPR 2023Chat2Map: Efficient Scene Mapping From Multi-Ego Conversations
- CVPR 2023Co-Speech Gesture Synthesis by Reinforcement Learning With Contrastive Pre-Trained Rewards
- CVPR 2023Coaching a Teachable Student
- CVPR 2023Decoupling Human and Camera Motion From Videos in the Wild
- CVPR 2023Depth Estimation From Indoor Panoramas With Neural Scene Representation
- CVPR 2023DexArt: Benchmarking Generalizable Dexterous Manipulation With Articulated Objects
- CVPR 2023Diverse 3D Hand Gesture Prediction From Body Dynamics by Bilateral Hand Disentanglement
- CVPR 2023Dynamic Inference With Grounding Based Vision and Language Models
- CVPR 2023DynamicStereo: Consistent Dynamic Depth From Stereo Videos
- CVPR 2023Event-Based Shape From Polarization
- CVPR 2023Extracting Class Activation Maps From Non-Discriminative Features As Well
- CVPR 2023From Node Interaction To Hop Interaction: New Effective and Scalable Graph Learning Paradigm
- CVPR 2023Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning
- CVPR 2023Fusing Pre-Trained Language Models With Multimodal Prompts Through Reinforcement Learning
- CVPR 2023Galactic: Scaling End-to-End Reinforcement Learning for Rearrangement at 100k Steps-per-Second
- CVPR 2023Graphics Capsule: Learning Hierarchical 3D Face Representations From 2D Images
- CVPR 2023High-Res Facial Appearance Capture From Polarized Smartphone Images
- CVPR 2023How To Prevent the Continuous Damage of Noises To Model Training?
- CVPR 2023IDGI: A Framework To Eliminate Explanation Noise From Integrated Gradients
- CVPR 2023Imitation Learning As State Matching via Differentiable Physics
- CVPR 2023Independent Component Alignment for Multi-Task Learning
- CVPR 2023Learning a 3D Morphable Face Reflectance Model From Low-Cost Data
- CVPR 2023Learning From Noisy Labels With Decoupled Meta Label Purifier
- CVPR 2023Learning Human-to-Robot Handovers From Point Clouds
- CVPR 2023Learning Optical Expansion From Scale Matching
- CVPR 2023Learning Personalized High Quality Volumetric Head Avatars From Monocular RGB Videos
- CVPR 2023Learning To Detect Mirrors From Videos via Dual Correspondences
- CVPR 2023Learning To Render Novel Views From Wide-Baseline Stereo Pairs
- CVPR 2023Level-S$^2$fM: Structure From Motion on Neural Level Set of Implicit Surfaces
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查强化学习在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "reinforcement-learning"}
常见问题
- 2023–2026 年四大会议一共有多少篇强化学习论文？
- 共 6,885 篇，按年份分别是 2023 年 1,070 篇、2024 年 1,190 篇、2025 年 1,640 篇、2026 年 2,985 篇。
- NeurIPS 2026 有多少篇强化学习论文？
- NeurIPS 2026 有 760 篇强化学习论文，上一届是 784 篇。
- ICLR 2026 有多少篇强化学习论文？
- ICLR 2026 有 911 篇强化学习论文，上一届是 379 篇。
- ICML 2026 有多少篇强化学习论文？
- ICML 2026 有 1,021 篇强化学习论文，上一届是 405 篇。
- CVPR 2026 有多少篇强化学习论文？
- CVPR 2026 有 293 篇强化学习论文，上一届是 72 篇。
- 哪个会议的强化学习论文最多？
- NeurIPS，2023–2026 年共 2,494 篇。